Evidence map›Paper›PMID 36396881›Full record

ArticleJournal of general internal medicine2023

Evidence-Based Interventions to Improve Opioid Prescribing in Primary Care: a Qualitative Assessment of Implementation in Two Studies.

Jennifer J Carroll, Phoebe A Cushman, Marlene C Lira, Jonathan A Colasanti, Carlos Del Rio, Karen E Lasser, Victoria Parker, Payel J Roy, Jeffrey H Samet, Jane M Liebschutz

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 1 country.

Jennifer J CarrollDepartment of Sociology and Anthropology, North Carolina State University, Raleigh, NC, USA. Jjcarro3@ncsu.edu.ORCID http://orcid.org/0000-0001-5711-7419
Phoebe A CushmanDepartment of Medicine, UMass Chan Medical School, Worcester, MA, USA.
Marlene C LiraClinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center, Boston, MA, USA.
Jonathan A ColasantiDivision of Infectious Diseases, Emory University, Atlanta, GA, USA.
Carlos Del RioDivision of Infectious Diseases, Emory University, Atlanta, GA, USA.
Karen E LasserClinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center, Boston, MA, USA.
Victoria ParkerDepartment of Management, Peter. T. Paul College of Business & Economics, University of New Hampshire, Durham, NH, USA.
Payel J RoyDivision of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Jeffrey H SametClinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center, Boston, MA, USA.
Jane M LiebschutzDivision of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Boston Medical Center · USEmory University · USUniversity of Pittsburgh · USBoston University · USNorth Carolina State University · USUniversity of Massachusetts Chan Medical School · USUniversity of New Hampshire · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe TOPCARE and TEACH randomized controlled trials demonstrated the efficacy of a multi-faceted intervention to promote guideline-adherent long-term opioid therapy (LTOT) in primary care settings. Intervention components included a full-time Nurse Care Manager (NCM), an electronic registry, and academic detailing sessions.

objectiveThis study sought to identify barriers, facilitators, and other issues germane to the wider implementation of this intervention.

designWe conducted a nested, qualitative study at 4 primary care clinics (TOPCARE) and 2 HIV primary care clinics (TEACH), where the trials had been conducted. APPROACH: We purposively sampled primary care physicians and advanced practice providers (hereafter: PCPs) who had received the intervention. Semi-structured interviews explored perceptions of the intervention to identify unanticipated barriers to and facilitators of implementation. Interview transcripts were analyzed through iterative deductive and inductive coding exercises. KEY

resultsWe interviewed 32 intervention participants, 30 physicians and 2 advanced practice providers, who were majority White (66%) and female (63%). Acceptability of the intervention was high, with most PCPs valuing didactic and team-based intervention elements, especially co-management of LTOT patients with the NCM. Adoption of new prescribing practices was facilitated by proximity to expertise, available behavioral health care, and the NCM's support. Most participants were enthusiastic about the intervention, though a minority voiced concerns about the appropriateness in their particular clinical environments, threats to the patient-provider relationship, or long-term sustainability.

conclusionTOPCARE/TEACH participants found the intervention generally acceptable, appropriate, and easy to adopt in a variety of primary care environments, though some challenges were identified. Careful attention to the practical challenges of implementation and the professional relationships affected by the intervention may facilitate implementation and sustainability.

Indexed as

Analgesics, OpioidPhysiciansEvidence-Based MedicineFemaleHumansPractice Patterns, Physicians'Primary Health CareAnalgesics, Opioidchronic painHIVopioidspatient safetyprescribingprimary care

Identifiers

PMID36396881
PMCPMC10271994
OpenAlexW4309365359

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.